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Enterprise AI

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Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

The 2021 Business Value Guide for AI

6 AI Project Drivers of Value

Organizations must deliver on 6 key drivers — value, vision, data, systems, talent, & governance — in order to progress AI maturity and create, measure, and maintain the business value of AI projects.


Leading AI enterprises leverage horizontal (team-wide) and vertical (cross-team) collaboration.

Bring everyone together, everyday.


Sound governance practices and sustainable systems that are agile and open to change are key to making Enterprise AI happen.

Prioritize responsible AI.


What's next for Enterprise AI?

The biggest trends predicted for AI in 2021.


Bad data - missing data, unlabeled data, etc. - can skew results, harming AI efforts.

Improve model performance with efficient data.


Whether you’re building self-serve analytics platforms or integrating AI with business processes, agility is key.

Iterate fast on a spectrum of data applications.

Accelerating AI Maturity: A Guide to Reducing Costs and Creating Value

Accelerating AI Maturity: A Guide to Reducing Costs and Creating Value With AI Applications

According to a NewVantage Partners executive survey, over 90% of business leaders report that challenges to becoming datadriven are people and business process related and not about technology. Resultantly, while technology still plays a role, there are many other facets for organizations aiming to level up their AI maturity to consider. These facets, whether conspicuous or not, ultimately end up playing part in the cost optimization and value creation associated with AI applications.

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“Maturity is the focus on planning for and adapting to either an incremental or transformational process change. It is measured not only by cost reduction, but also by reduced cycle times, lower error rates, scalability, and business agility (the ability to respond or demonstrate insights previously unavailable).” - Gartner, Artificial Intelligence Maturity Model

Dataiku is Your Path to Enterprise AI

With Dataiku, you have everything you need to build and deploy AI projects in one place, including easy-to-use data preparation and pipelines, AutoML, and advanced automation.